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Journal articles on the topic 'Heuristic processes'

Author: Grafiati

Published: 31 August 2024

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1

Özcan, Ender, Mustafa Misir, Gabriela Ochoa, and Edmund K. Burke. "A Reinforcement Learning - Great-Deluge Hyper-Heuristic for Examination Timetabling." International Journal of Applied Metaheuristic Computing 1, no. 1 (2010): 39–59. http://dx.doi.org/10.4018/jamc.2010102603.

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Hyper-heuristics can be identified as methodologies that search the space generated by a finite set of low level heuristics for solving search problems. An iterative hyper-heuristic framework can be thought of as requiring a single candidate solution and multiple perturbation low level heuristics. An initially generated complete solution goes through two successive processes (heuristic selection and move acceptance) until a set of termination criteria is satisfied. A motivating goal of hyper-heuristic research is to create automated techniques that are applicable to a wide range of problems wi

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Cao, Qianning. "The Availability Heuristic." Communications in Humanities Research 27, no. 1 (2024): 271–74. http://dx.doi.org/10.54254/2753-7064/27/20231715.

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Few fields of psychology have undergone such dramatic conceptual changes over the past dozen years as the emerging science of heuristics. Heuristics are effective cognitive processes that consciously or unconsciously ignore part of information. Good heuristics can greatly reduce the time it takes to solve a problem by avoiding some unlikely possibilities, and although heuristic processes tend to find solutions or outcomes that are often valid or correct, they may only be correct, provable, optimal, or accurate sometimes. However, decision making based on heuristics is often sufficient to solve

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Cavarretta, Fabrice L. "On the hard problem of selecting bundles of rules: a conceptual exploration of heuristic emergence processes." Management Decision 59, no. 7 (2021): 1598–616. http://dx.doi.org/10.1108/md-09-2019-1322.

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PurposeSo far, the simplicity of heuristics has been mostly studied at the rule level. However, actors' bounded rationality implies that small bundles of rules drive behavior. This study thus conducts a conceptual elaboration around such bundling. This leads to reflections on the various processes of heuristic emergence and to qualifications of the respective characteristics of basic heuristic classes.Design/methodology/approachDetermining which rules – out of many possible ones – to select in one's small bundle constitutes a difficult combinatorial problem. Fortunately, past research has demo

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Gragson, Ted L. "Heuristic Mapping of Frontier Processes." Field Methods 14, no. 4 (2002): 368–89. http://dx.doi.org/10.1177/152582202237726.

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Grodzinsky, Yosef, and Alexander Marek. "Algorithmic and heuristic processes revisited." Brain and Language 33, no. 2 (1988): 216–25. http://dx.doi.org/10.1016/0093-934x(88)90065-x.

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Du, Ruibo. "Availability Heuristic: An Overview and Applications." Highlights in Business, Economics and Management 1 (November 28, 2022): 153–59. http://dx.doi.org/10.54097/hbem.v1i.2548.

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Heuristics exist in all individuals, causing irrational and often false conclusions on the frequency and probability of events. With the recognition of behavioral finance theories, this essay includes an overview, applications, and analysis of a particular heuristic, the availability heuristic. It focuses on the potential misjudgment that may result from the availability heuristic, in order to provide an alternative perspective for economic and social issues. This essay may build a better understanding of the availability heuristic for market participants and policymakers; reducing the degree

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Wimsatt, William C. "Heuristics refound." Behavioral and Brain Sciences 23, no. 5 (2000): 766–67. http://dx.doi.org/10.1017/s0140525x00513442.

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Gigerenzer et al.'s is an extremely important book. The ecological validity of the key heuristics is strengthened by their relation to ubiquitous Poisson processes. The recognition heuristic is also used in conspecific cueing processes in ecology. Three additional classes of problem-solving heuristics are proposed for further study: families based on near-decomposability analysis, exaptive construction of functional structures, and robustness.

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Weis, Patrick P., and Eva Wiese. "Speed Considerations Can Be of Little Concern When Outsourcing Thought to External Devices." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62, no. 1 (2018): 14–18. http://dx.doi.org/10.1177/1541931218621004.

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Most research on human cognition has focused on processes “inside the box”. Recently, researchers questioned this monopoly, promoting the relevance of cognitive processing “outside the box”, for instance, when using a GPS to navigate. For processing that is distributed between internal and external resources to work efficiently, humans need good heuristics that help them decide when to use which resource. A novel human-computer-interaction paradigm was employed to explore whether people follow the “minimal memory” heuristic and offload cognitive processing onto external resources whenever poss

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Jasper, Fabian, and Tuulia M. Ortner. "The Tendency to Fall for Distracting Information While Making Judgments." European Journal of Psychological Assessment 30, no. 3 (2014): 193–207. http://dx.doi.org/10.1027/1015-5759/a000214.

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Despite much research on thinking biases such as the representativeness, availability, and anchoring heuristics, a psychometrically sound measurement instrument for assessing the degree of heuristic thinking is still missing. Therefore, it was the goal of this study to develop and validate a new test to assess the degree of heuristic thinking associated with three particular thinking heuristics (i.e., the representativeness, availability, and anchoring heuristics). The resulting Objective Heuristic Thinking Test (OHTT) was evaluated with regard to its internal consistency, factor structure, co

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Karakoyun, Gülen Önal, and Erol Asiltürk. "Analysis of Pre-Service Science Teachers’ Heuristic Reasoning Processes about Hydrogen Bonding." Journal of Science Learning 4, no. 1 (2020): 50–60. http://dx.doi.org/10.17509/jsl.v4i1.23737.

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The purpose of this research was to determine the heuristics used by pre-service science teachers in understanding the details of hydrogen bonding. The reasoning processes demonstrated were evaluated based on ten heuristic models suggested by Talanquer (2014). Phenomenographic assessment of the 30 participants indicated that all ten heuristics were utilized to make interpretations about hydrogen bonding. It was found that most students used short-cut strategies rather than efficient analytical reasoning processes. A total of 12 answer patterns were determined based on the answers of the partic

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11

Luyben, William L. "Heuristic Design of Reaction/Separation Processes." Industrial & Engineering Chemistry Research 49, no. 22 (2010): 11564–71. http://dx.doi.org/10.1021/ie101509w.

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Rosburg, Timm, Axel Mecklinger, and Christian Frings. "When the Brain Decides." Psychological Science 22, no. 12 (2011): 1527–34. http://dx.doi.org/10.1177/0956797611417454.

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Humans can make fast and highly efficient decisions by using simple heuristics that are assumed to exploit basic cognitive functions. In the study reported here, we used event-related potentials (ERPs) to disclose the psychological mechanisms underlying one of the most frugal decision rules, namely, the recognition heuristic. According to this heuristic, whenever two objects have to be ranked by a specific criterion and only one object is recognized, the recognized object is ranked higher than the unrecognized object. Using a standard recognition-heuristic paradigm, we predicted participants’

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Davies, Simon P. "Memory and Planning Processes in Solutions to Well-Structured Problems." Quarterly Journal of Experimental Psychology Section A 53, no. 3 (2000): 896–927. http://dx.doi.org/10.1080/713755909.

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Although many studies in the problem-solving literature have considered the factors that might determine the strategies that are employed to solve well-structured problems, these have typically focused upon variants of means-end analysis. In general, such models imply that strategies unfold in a temporally forward direction, that problem solvers typically restrict forward-planning activities to just one or two moves ahead of the current problem state, and that one important heuristic is the avoidance of previous moves. Although studies have demonstrated the importance of such anti-looping heur

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Spanos, P. D., W. Y. Tein, and R. G. Ghanem. "Heuristic spectral estimation of bivariate nonstationary processes." Meccanica 31, no. 2 (1996): 207–18. http://dx.doi.org/10.1007/bf00426261.

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Fernández, Joaquín L., Rafael Sanz, Reid G. Simmons, and Amador R. Diéguez. "Heuristic anytime approaches to stochastic decision processes." Journal of Heuristics 12, no. 3 (2006): 181–209. http://dx.doi.org/10.1007/s10732-006-4834-3.

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Gárate-Escamilla, Anna Karen, Ivan Amaya, Jorge M. Cruz-Duarte, Hugo Terashima-Marín, and José Carlos Ortiz-Bayliss. "Identifying Hyper-Heuristic Trends through a Text Mining Approach on the Current Literature." Applied Sciences 12, no. 20 (2022): 10576. http://dx.doi.org/10.3390/app122010576.

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Hyper-heuristics have arisen as methods that increase the generality of existing solvers. They have proven helpful for dealing with complex problems, particularly those related to combinatorial optimization. Their recent growth in popularity has increased the daily amount of text in the related literature. This information is primarily unstructured, mainly text that traditional computer data systems cannot process. Traditional systematic literature review studies exhibit multiple limitations, including high time consumption, lack of replicability, and subjectivity of the results. For this reas

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Sánchez-Díaz, Xavier, José Carlos Ortiz-Bayliss, Ivan Amaya, Jorge M. Cruz-Duarte, Santiago Enrique Conant-Pablos, and Hugo Terashima-Marín. "A Feature-Independent Hyper-Heuristic Approach for Solving the Knapsack Problem." Applied Sciences 11, no. 21 (2021): 10209. http://dx.doi.org/10.3390/app112110209.

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Recent years have witnessed a growing interest in automatic learning mechanisms and applications. The concept of hyper-heuristics, algorithms that either select among existing algorithms or generate new ones, holds high relevance in this matter. Current research suggests that, under certain circumstances, hyper-heuristics outperform single heuristics when evaluated in isolation. When hyper-heuristics are selected among existing algorithms, they map problem states into suitable solvers. Unfortunately, identifying the features that accurately describe the problem state—and thus allow for a prope

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Wu, Zhiying, Qingxin Chen, Ning Mao, and Guoning Xu. "Two Scenario-Based Heuristics for Stochastic Shift Design Problem with Task-Based Demand." Applied Sciences 13, no. 18 (2023): 10070. http://dx.doi.org/10.3390/app131810070.

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In this paper, we propose a deterministic shift design model with task-based demand and give the corresponding stochastic version with a probability constraint such that the shift plan designed is staffed with the workforce with a certain probability of performing all given tasks. Since we currently find no suitable methods for solving this stochastic model from the literature related to solving stochastic shift design models, we developed a single-stage heuristic method based on statistics, whose main idea is to reduce the occurrence of manpower shortage by prolonging the resource occupation

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Nadurak, Vitaliy. "Moral Heuristics and Two Types of Information Processing." Acta Baltica Historiae et Philosophiae Scientiarum 10, no. 2 (2022): 46–62. http://dx.doi.org/10.11590/abhps.2022.2.03.

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The purpose of this paper is to clarify the relationship between moral heuristics and two types of information processing. To achieve this goal, moral heuristics will be considered in the context of a dual-process theory. Type 1 processes (deliberate) are being defined as consciously controlled and Type 2 processes (intuitive) as those that occur without conscious control. Heuristics are not one of the types of information processing, but a methodor procedure that simplifies information processing for decision-makers. This simplification can be achieved both in deliberate and intuitive ways. T

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Shchekhovska, Larysa. "Behavioral implications in supply chain risk management." Electronic Scientific Journal Intellectualization of Logistics and Supply Chain Management #1 2020, no. 21 (October 2023): 22–32. http://dx.doi.org/10.46783/smart-scm/2023-21-3.

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This article provides new insights into behavioral implications based on biases and heuristics in SCRM. It is argued that biases and heuristics will play an even greater role in SCRM as the rising complexity of risk management systems has increasingly overstrained the cognitive abilities of decision-makers. The main contribution and central finding of the article is the presentation of a wide array of behavioral implications of the selected biases and heuristics for SCRM. It is differentiated between four major SCRM processes: risk identification, risk assessment, risk treatment, and risk moni

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Saksuriya, Payakorn, and Chulin Likasiri. "Hybrid Heuristic for Vehicle Routing Problem with Time Windows and Compatibility Constraints in Home Healthcare System." Applied Sciences 12, no. 13 (2022): 6486. http://dx.doi.org/10.3390/app12136486.

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This work involves a heuristic for solving vehicle routing problems with time windows (VRPTW) with general compatibility-matching between customer/patient and server/caretaker constraints to capture the nature of systems such as caretakers’ home visiting systems or home healthcare (HHC) systems. Since any variation of VRPTW is more complicated than regular VRP, a specific, custom-made heuristic is needed to solve the problem. The heuristic proposed in this work is an efficient hybrid of a novice Local Search (LS), Ruin and Recreate procedure (R&R) and Particle Swarm Optimization (PSO). The

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AlFayez, Fayez. "Architecture and enhanced-algorithms to manage servers-processes into network: a management system." PeerJ Computer Science 9 (July 18, 2023): e1408. http://dx.doi.org/10.7717/peerj-cs.1408.

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This work investigates minimizing the makespan of multiple servers in the case of identical parallel processors. In the case of executing multiple tasks through several servers and each server has a fixed number of processors. The processors are generally composed of two processors (core duo) or four processors (quad). The meaningful format of the number of processors is 2k, and k ≥ 0. The problem is to find a schedule that minimizes the makespan on 2k processors. This problem is identified as NP-hard one. A new network architecture is proposed based on the addition of server management. In ad

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23

White, D. J. "An Heuristic for Multi-Dimensional Markov Decision Processes." Journal of Information and Optimization Sciences 14, no. 2 (1993): 203–19. http://dx.doi.org/10.1080/02522667.1993.10699150.

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24

Andersson, Linus, Johan Eriksson, Sara Stillesjö, Peter Juslin, Lars Nyberg, and Linnea Karlsson Wirebring. "Neurocognitive processes underlying heuristic and normative probability judgments." Cognition 196 (March 2020): 104153. http://dx.doi.org/10.1016/j.cognition.2019.104153.

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Buitrago, Manuel, José M. Adam, Yezid A. Alvarado, Juan J. Moragues, Isabel Gasch, and Pedro A. Calderón. "Designing construction processes in buildings by heuristic optimization." Engineering Structures 111 (March 2016): 1–10. http://dx.doi.org/10.1016/j.engstruct.2015.12.009.

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Expósito-Izquierdo, Christopher, Belén Melián-Batista, and José Marcos Moreno-Vega. "Optimization Model and Heuristic Approach for Blocks Retrieval Processes in Warehouses." Proceedings of the International Conference on Automated Planning and Scheduling 24 (May 10, 2014): 111–19. http://dx.doi.org/10.1609/icaps.v24i1.13634.

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In this paper we introduce a planning problem termed as Q-Blocks Relocation Problem, which pursues to retrieve a subset of blocks located in a warehouse by minimizing the number of relocation movements. We formalize the problem by means of a Mixed Integer Linear Programming model. However, the high computational burden required by the model encourages us to develop a heuristic algorithm for tackling it. The rationale behind the proposed heuristic is both to retrieve the requested blocks as soon as possible while reducing the number of blocks placed above another one with a higher priority. The

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hahn, ulrike, john-mark frost, and greg maio. "what's in a heuristic?" Behavioral and Brain Sciences 28, no. 4 (2005): 551–52. http://dx.doi.org/10.1017/s0140525x05320097.

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the term “moral heuristic” as used by sunstein seeks to bring together various traditions. however, there are significant differences between uses of the term “heuristic” in the cognitive and the social psychological research, and these differences are accompanied by very distinct evidential criteria. we suggest the term “moral heuristic” should refer to processes, which means that further evidence is required.

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Klimenko, I. S. "Heuristic methods of decision support in project management." Sovremennaya nauka i innovatsii, no. 4 (44) (2023): 10–19. http://dx.doi.org/10.37493/2307-910x.2023.4.1.

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The article is devoted to the use of informal methods in the processes of justification of choice and decision-making in project activities. The classification of selection methods is given, the essence of project activity is determined, its fundamental difference from operational activity. The significance and value of heuristic practices for increasing the validity of a design decision is shown.

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Ahn, Hyun-Soo, and Rhonda Righter. "Multi-Actor Markov Decision Processes." Journal of Applied Probability 42, no. 1 (2005): 15–26. http://dx.doi.org/10.1239/jap/1110381367.

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We give a very general reformulation of multi-actor Markov decision processes and show that there is a tendency for the actors to take the same action whenever possible. This considerably reduces the complexity of the problem, either facilitating numerical computation of the optimal policy or providing a basis for a heuristic.

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Ahn, Hyun-Soo, and Rhonda Righter. "Multi-Actor Markov Decision Processes." Journal of Applied Probability 42, no. 01 (2005): 15–26. http://dx.doi.org/10.1017/s0021900200000024.

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We give a very general reformulation of multi-actor Markov decision processes and show that there is a tendency for the actors to take the same action whenever possible. This considerably reduces the complexity of the problem, either facilitating numerical computation of the optimal policy or providing a basis for a heuristic.

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Pazis, Jason, and Ronald Parr. "PAC Optimal Exploration in Continuous Space Markov Decision Processes." Proceedings of the AAAI Conference on Artificial Intelligence 27, no. 1 (2013): 774–81. http://dx.doi.org/10.1609/aaai.v27i1.8678.

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Current exploration algorithms can be classified in two broad categories: Heuristic, and PAC optimal. While numerous researchers have used heuristic approaches such as epsilon-greedy exploration successfully, such approaches lack formal, finite sample guarantees and may need a significant amount of fine-tuning to produce good results. PAC optimal exploration algorithms, on the other hand, offer strong theoretical guarantees but are inapplicable in domains of realistic size. The goal of this paper is to bridge the gap between theory and practice, by introducing C-PACE, an algorithm which offers

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Lewis, Timothy B., and Jeffrey N. Barnes. "An Accounting Liability Heuristic." Journal of Business Case Studies (JBCS) 11, no. 4 (2015): 189–224. http://dx.doi.org/10.19030/jbcs.v11i4.9447.

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This article traces the thought processes involved in understanding and managing accountants’ legal liability which is sometimes broadly called “professional malpractice.” The cumulative nature of potential liability is demonstrated. The various legal theories of liability are discussed along with the most prominent potential affirmative defenses against liability. Unique to this paper is the decision heuristic providing a framework for assessing potential accountants’ legal liability. This discussion is useful for both student and practitioner.

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Mohagheghi, Mohammadsadegh, and Khayyam Salehi. "Improving Graph-based methods for computing qualitative properties of markov decision processes." Indonesian Journal of Electrical Engineering and Computer Science 17, no. 3 (2020): 1571. http://dx.doi.org/10.11591/ijeecs.v17.i3.pp1571-1577.

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<span>Probabilistic model checking is a formal verification method, which is used to guarantee the correctness of the computer systems with stochastic behaviors. Reachability probabilities are the main class of properties that are proposed in probabilistic model checking. Some graph-based pre-computation can determine those states for which the reachability probability is exactly zero or one. Iterative numerical methods are used to compute the reachability probabilities for the remaining states. In this paper, we focus on the graph-based pre-computations and propose a heuristic to improv

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Schroyens, Walter, Walter Schaeken, Wim Fias, and Géry d'Ydewalle. "Heuristic and analytic processes in propositional reasoning with negatives." Journal of Experimental Psychology: Learning, Memory, and Cognition 26, no. 6 (2000): 1713–34. http://dx.doi.org/10.1037/0278-7393.26.6.1713.

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Schembecker, G. "Heuristic-numeric design of separation processes for azeotropic mixtures." Computers & Chemical Engineering 21, no. 1-2 (1997): S231—S236. http://dx.doi.org/10.1016/s0098-1354(97)00054-9.

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Schembecker, Gerhard, and Karl Hans Simmrock. "Heuristic-numeric design of separation processes for azeotropic mixtures." Computers & Chemical Engineering 21 (May 1997): S231—S236. http://dx.doi.org/10.1016/s0098-1354(97)87507-2.

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Luyben, William L. "Heuristic Design of Reaction/Separation Processes with Two Recycles." Industrial & Engineering Chemistry Research 50, no. 8 (2011): 4788–95. http://dx.doi.org/10.1021/ie101896v.

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David, J., P. Švec, R. Garzinová, S. Kluska-Nawarecka, D. Wilk-Kołodziejczyk, and K. Regulski. "Heuristic modeling of casting processes under the conditions uncertainty." Archives of Civil and Mechanical Engineering 16, no. 2 (2016): 179–85. http://dx.doi.org/10.1016/j.acme.2015.10.006.

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Su, Kexin. "The Introduction and Applications of Representativeness Heuristics." BCP Social Sciences & Humanities 19 (August 30, 2022): 645–50. http://dx.doi.org/10.54691/bcpssh.v19i.1804.

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Representativeness heuristic is one of the major cognitive shortcuts behaviours that instead a question of probability on one of similarity. Individuals are good at using representativeness method to solve problems since it is easier and faster to evaluate how closely the problem corresponds to a similar one. However, the customary use of representativeness heuristic may generate severe biases and errors by mental shortcuts, especially on judgements and probability estimations processes. Nowadays, the study of representativeness heuristic has practical significances and widely influences on re

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Kaczmar, Ireneusz, and Tamás Bányai. "Optimisation of flow shop scheduling problem: simulation system vs. evolutive solver." Advanced Logistic Systems - Theory and Practice 16, no. 1 (2022): 31–40. http://dx.doi.org/10.32971/als.2022.003.

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In the Industry 4.0 era the optimisation of production processes become more and more important. A wide range of tools are used to improve the performance of production processes and related operations of the supply chain including purchasing, distribution and inverse processes. These tools have a great impact on the results of design and operation of production processes both technology and logistics point of view. Within the frame of this article, the authors are demonstrating the optimisation potentials of simulation tools and heuristic solvers (optimisers) through the problem of the well-k

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Segovia-Aguas, Javier, Sergio Jiménez Celorrio, Laura Sebastiá, and Anders Jonsson. "Scaling-Up Generalized Planning as Heuristic Search with Landmarks." Proceedings of the International Symposium on Combinatorial Search 15, no. 1 (2022): 171–79. http://dx.doi.org/10.1609/socs.v15i1.21765.

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Landmarks are one of the most effective search heuristics for classical planning, but largely ignored in generalized planning. Generalized planning (GP) is usually addressed as a combinatorial search in a given space of algorithmic solutions, where candidate solutions are evaluated w.r.t. the instances they solve. This type of solution evaluation ignores any sub-goal information that is not explicit in the representation of the planning instances, causing plateaus in the space of candidate generalized plans. Furthermore, node expansion in GP is a run-time bottleneck since it requires evaluatin

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Bonollo, Michele, Luca Di Persio, and Luca Prezioso. "The Default Risk Charge approach to regulatory risk measurement processes." Dependence Modeling 6, no. 1 (2018): 309–30. http://dx.doi.org/10.1515/demo-2018-0018.

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AbstractIn the present paper we consider the Default Risk Charge (DRC) measure as an effective alternative to the Incremental Risk Charge (IRC) one, proposing its implementation by a quasi exhaustive-heuristic algorithm to determine the minimum capital requested to a bank facing the market risk associated to portfolios based on assets issued by several financial agents. While most of the banks use the Monte Carlo simulation approach and the empirical quantile to estimate this risk measure, we provide new computational approaches, exhaustive or heuristic, currently becoming feasible because of

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43

Skakalina, E. "INTELLECTUAL CONTROL OF LOGISTIC PROCESSES USING GENETIC ALGORITHMS." Системи управління, навігації та зв’язку. Збірник наукових праць 1, no. 63 (2021): 111–14. http://dx.doi.org/10.26906/sunz.2021.1.111.

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Global business digitalization entails the automation of a large number of business processes, both key and auxiliary. This trend is becoming a defining factor in the global BPM market. Intelligent systems for automating business processes cover not only the corporate segment of large corporate business, but quickly penetrate into medium-sized businesses and find application in government agencies. A strategic guideline in the digitalization of flow control is an innovative approach, which should be systematic. The proposed concept of digitalization of logistics processes is implemented on a h

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Mazurkiewicz, Małgorzata. "Heuristic methods as a powerful managerial tool for enterprise in times of uncertainty." Kwartalnik Nauk o Przedsiębiorstwie 63, no. 1 (2022): 57–70. http://dx.doi.org/10.33119/knop.2022.63.1.5.

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In managing enterprise, uncertainty belongs to the attributes of the decision making processes. In competitive environments, where success depends on high-quality decisions, taking the wrong steps can lead to loss of market share or even contribute to running out of business. That is why it is important to choose from the many alternatives those methods which will be most effective in solving problems in a simple and quick way, and heuristics offer such a solution, which has proved its usefulness in uncertain business environments. The aim of this study is to present and evaluate heuristic met

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Леонов, Юрий, Yuriy Leonov, Евгений Леонов, et al. "SEARCH OF OPTIMUM ENGINEERING PROCESSES USING ALGORITHMS OF HEURISTIC SEARCH." Bulletin of Bryansk state technical university 2017, no. 4 (2017): 122–27. http://dx.doi.org/10.12737/article_5a02fa07c12da0.87522967.

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Crawford, Stuart L., and Barry M. Leiner. "VHP: An environment for the remote visualization of heuristic processes." Acta Astronautica 29, no. 7 (1993): 553–60. http://dx.doi.org/10.1016/0094-5765(93)90060-a.

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Trauwaert, E., and A. Decrock. "A heuristic algorithm for allocation of components in manufacturing processes." European Journal of Operational Research 31, no. 2 (1987): 232–39. http://dx.doi.org/10.1016/0377-2217(87)90027-0.

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Kiełczewski, Dariusz, Anna Matel, and Tomasz Poskrobko. "Project Management in Behavioural Perspective – Cognitive Biases in the Formulation of the Aim of the Project." Ekonomia i Zarzadzanie 8, no. 3 (2016): 70–78. http://dx.doi.org/10.1515/emj-2016-0025.

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Abstract The article contains a behavioural analysis of the aim-formulating stage of the project. The purpose of the article is to point out that in the process of formulating the aim of the project, it comes to such decision-making situations which favour heuristic thinking. The article presents the results of the secondary research. As a result of verified theory, according to which in the process of formulating the aim of the project, the interference in decision-making processes may occur on the part of the heuristics and the resulting cognitive biases.

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Zarook, Yaser, Javad Rezaeian, Iraj Mahdavi, and Masoud Yaghini. "Efficient algorithms to minimize makespan of the unrelated parallel batch-processing machines scheduling problem with unequal job ready times." RAIRO - Operations Research 55, no. 3 (2021): 1501–22. http://dx.doi.org/10.1051/ro/2021062.

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This paper considers the minimization of makespan in the unrelated parallel batch processing machines scheduling problem with considering non-identical job size and dynamic job ready time. The considered unrelated machines have different capacity and different processing speed. Each machine processes a number of the jobs as a batch at the same time so that the machine’s capacity is not exceeded. The batch processing time and the batch ready time are equal to the largest processing time and the largest ready time of jobs in the same batch, respectively. In this paper, a Mixed Integer Linear Pro

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Anuar, Wadi Khalid, Lai Soon Lee, Hsin-Vonn Seow, and Stefan Pickl. "A Multi-Depot Dynamic Vehicle Routing Problem with Stochastic Road Capacity: An MDP Model and Dynamic Policy for Post-Decision State Rollout Algorithm in Reinforcement Learning." Mathematics 10, no. 15 (2022): 2699. http://dx.doi.org/10.3390/math10152699.

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In the event of a disaster, the road network is often compromised in terms of its capacity and usability conditions. This is a challenge for humanitarian operations in the context of delivering critical medical supplies. To optimise vehicle routing for such a problem, a Multi-Depot Dynamic Vehicle-Routing Problem with Stochastic Road Capacity (MDDVRPSRC) is formulated as a Markov Decision Processes (MDP) model. An Approximate Dynamic Programming (ADP) solution method is adopted where the Post-Decision State Rollout Algorithm (PDS-RA) is applied as the lookahead approach. To perform the rollout

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